Chinese artificial intelligence startup Moonshot AI has temporarily suspended new subscriptions for its flagship Kimi K3 model after an overwhelming surge in demand strained its computing capacity. This highlights the growing appetite for advanced AI tools as the company moves toward a planned Hong Kong initial public offering (IPO).
The Beijing-based startup announced it had paused new paid memberships after demand for Kimi K3 exceeded available computing resources. Existing subscribers will continue to have access while the company expands its infrastructure and optimizes its subscription services, according to Reuters.
The move comes just days after Moonshot released Kimi K3, an open-weight large language model with 2.8 trillion parameters. The company says the model delivers competitive performance in coding, reasoning and AI agent tasks, positioning it among China’s strongest challengers to models from OpenAI, Anthropic and Google.
The subscription pause underscores one of the biggest challenges facing the AI industry: balancing explosive user demand with the enormous computing power required to run increasingly sophisticated models. Chinese AI companies, in particular, have been racing to secure high-end graphics processing units (GPUs) while navigating U.S. export restrictions on advanced AI chips.
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Founded in 2023 by Yang Zhilin, a Carnegie Mellon University graduate, Moonshot has emerged as one of China’s most closely watched AI startups. The company has raised billions of dollars from investors and is reorganizing its offshore corporate structure ahead of a potential Hong Kong IPO, Reuters reported. Investment banks Goldman Sachs and China International Capital Corp. (CICC) are advising on the listing.
Moonshot’s rapid rise has also renewed interest in Yang’s decision to leave the United States and build his company in China. In recent days, speculation on social media suggested that immigration hurdles may have influenced his return.
Those claims were pushed back by Russ Salakhutdinov, Yang’s former PhD advisor at Carnegie Mellon University and a professor of computer science, who said Yang’s decision had little to do with visa issues.
“I think there’s a lot of confusion and misinformation about Zhilin’s visa, H-1B lottery, immigration, and why he left the U.S.,” Salakhutdinov wrote in a post on X.
According to Salakhutdinov, Yang had multiple opportunities to remain in the United States, including potential employment at Apple.
“Zhilin had many opportunities to stay in the U.S. if he wanted to,” he wrote. “In fact, I was on an email thread with a senior Apple executive asking whether Zhilin would consider joining Apple. I said that he wanted to go back to his homeland. The response was, well, we have an office in Beijing if he’d like to join there.”
Salakhutdinov said Yang had long been determined to become an entrepreneur rather than pursue a career at an established technology company.
“But Zhilin was quite determined to go back and build a startup,” he wrote. “I remember him telling me that if he didn’t at least try starting his own company, he would regret it for the rest of his life. I respect that, and he was right.”
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The professor acknowledged that many international PhD graduates choose to remain in the United States despite what he described as an immigration system that can be “quite intimidating and uncertain,” even for top researchers. However, he emphasized that Yang’s move back to China reflected a personal entrepreneurial choice rather than a lack of opportunities in the United States.
Yang’s story has gained renewed attention as the global AI race intensifies. A former researcher at Google Brain, he founded Moonshot to develop frontier AI models capable of competing with leading U.S. companies. The success of Kimi K3 has quickly elevated the startup’s profile both in China and internationally.
The surge in demand that forced Moonshot to pause new subscriptions illustrates the broader momentum behind China’s AI sector, where companies are rapidly scaling their models while competing for talent, computing resources and global market share. As Moonshot prepares for a public listing, investors will be watching whether the startup can convert that enthusiasm into sustainable growth without compromising the performance of its flagship AI platform.